CN104089601A - Evaluation method of surface roughness of fiber reinforced composite material - Google Patents
Evaluation method of surface roughness of fiber reinforced composite material Download PDFInfo
- Publication number
- CN104089601A CN104089601A CN201410338867.8A CN201410338867A CN104089601A CN 104089601 A CN104089601 A CN 104089601A CN 201410338867 A CN201410338867 A CN 201410338867A CN 104089601 A CN104089601 A CN 104089601A
- Authority
- CN
- China
- Prior art keywords
- data
- raw data
- roughness
- gross error
- evaluation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Landscapes
- Analysing Materials By The Use Of Radiation (AREA)
Abstract
The invention relates to an evaluation method of surface roughness of a fiber reinforced composite material, and belongs to the technical field of material surface integrity evaluation. According to the method, firstly, a non-contact test instrument is selected and used for extracting original data of the machined surface of the material; secondly, the gross error theory is used, and filtering gross errors, namely, manufacturing defects of the material itself are filtered out; at last, analysis software is used for analyzing and processing the filtered-out data to obtain corresponding surface roughness data. Due to the fact that the manufacturing defects of the material itself are filtered out, the three-dimensional roughness data are used as evaluation data, and authentic evaluation on roughness of the machined surface of the material can be achieved.
Description
Technical field
The present invention relates to material surface Integrity Assessment technical field, be specifically related to a kind of fibre reinforced composites surfaceness evaluation method.
Background technology
At present, the materials such as C/C, C/SiC, owing to having good physical and chemical performance, become the important candidate material of the crucial heat structure of empty day aircraft gradually.And the surface quality of composite element is the key factor that affects component performance, yield rate and reliability, at present domestic in composite Materials Design, processing and use procedure, still continue to use traditional metal material surface quality testing evaluation method, but some conclusions of ordinary metallic material cutting surface roughness and experience be not suitable for compound substance.This is mainly because the surfaceness evaluation method of metal material belongs to two-dimentional assessment method, and C/SiC compound substance is the compound substance that continuous fiber strengthens, there is obvious anisotropy, after machined, there will be fibre breakage, fiber is extracted from matrix, crackle, the surface microscopic topographic feature that hole etc. are special, present the special surface topography that is different from metal material completely, and these are to be distributed in surperficial part, random information, adopt contact measurement method to exist probe to put hole under, the problems such as probe wearing and tearing, can affect testing result, in addition, two-dimensional signal not can completely is reacted the surface topography after processing, measuring error is larger.In engineering application, still lack a kind of assessment method that reacts more truly, more comprehensively compound substance cutting surface quality.
Summary of the invention
(1) technical matters that will solve
The technical problem to be solved in the present invention is: how to overcome existing contact type probe and measure the contact probe wearing and tearing that exist and measure coarse defect, provide a kind of fibre reinforced composites surfaceness evaluation method, to realize the authentic assessment to materials processing surfaceness.
(2) technical scheme
In order to solve the problems of the technologies described above, the invention provides a kind of fibre reinforced composites surfaceness evaluation method, comprise the following steps:
S1, measure the height value of each point on original material sample finished surface, as raw data;
S2, the raw data of the some in each a certain size region is processed to the gross error in filtering raw data;
S3, utilize analysis software to reanalyse processing data after treatment, obtain corresponding three-dimensional roughness data;
S4, utilize resulting three-dimensional roughness data to carry out roughness evaluation.
Preferably, described gross error is hole.
Preferably, described three-dimensional roughness data are surface roughness value Sa or Sq.
Preferably, in step S2, the raw data of the some in a certain size region is processed, the gross error in filtering raw data is specially:
S21, obtain 1024 * 1024 raw data in 0.8mm * 0.8mm region of measurement;
S22, sample is carried out to leveling;
S23, utilization are differentiated 3 σ criterions of gross error and are differentiated gross errors, and by gross error filtering.
Preferably, step S23 is specially: calculate the average height value x of 1024 * 1024 raw data, and then calculate standard deviation and residual error v
i, judge every some residual error v
iwhether be greater than 3 σ, reject v
ithe point of >3 σ, returns to step S22, otherwise execution step S3.
Preferably, described material is for strengthening C/C, C/SiC, carbon fiber or metal.
Preferably, described surface is for adopting plane or the arbitrary surface after machining, electromachining or the moulding of special process mode.
Preferably, the analysis software Talymap that described analysis software is surface roughometer.
Preferably, in step S1, utilize non-contact testing instrument to obtain raw data.
(3) beneficial effect
First the present invention selects non-contact testing instrument to extract material machined surface raw data; Next utilizes gross error theoretical, filtering gross error, i.e. material preparation defect itself, finally utilize analysis software to filtering after data analysis processing, obtain respective surfaces coarseness data.Due to filtering material preparation defect itself, and use three-dimensional roughness data as evaluating data, can realize the authentic assessment to materials processing surfaceness.
Accompanying drawing explanation
Fig. 1 is a kind of fiber reinforcement C/SiC compound substance C fiber preform acupuncture shaping schematic view;
Fig. 2 is typical surface microscopic appearance after a kind of fiber reinforcement C/SiC composite processing; Wherein a is that stratiform brittle failure and fiber are extracted figure; B is hole figure; C is crackle figure;
Fig. 3 is original measurement surface parameter;
Fig. 4 is 30 some Sa numerical value of original measurement;
Fig. 5 is raw data and the rear data of processing corrugated histogram, is respectively a and b;
Fig. 6 is that original two dimensional figure contrasts with processing rear surface circle of equal altitudes, is respectively a and b; Wherein white is NAN, and black is gross error;
Fig. 7 is for processing rear surface measurement parameter;
Sa numerical value and the original measurement value comparison diagram of Fig. 8 for obtaining after 30 points of original measurement are processed.
Embodiment
For making object of the present invention, content and advantage clearer, take C/SiC material below as example, by reference to the accompanying drawings and concrete method of testing and step the present invention will be further described:
C/C, C/SiC compound substance are due to the limitation of moulding process own, porosity in material preparation process is all qualified within the specific limits, and hole is the key factor that affects surfaceness, for solving the impact of processing on such material surface roughness, the present invention proposes a kind of new fibre reinforced composites surfaceness evaluation method.
C/SiC composite fiber precast body used in the present invention is three-dimensional needling structure, and as shown in Figure 1, wherein 1 is net tire, and 2 is X-direction fiber laying, and 3 is Y-direction fiber laying, and 4 is needling fiber bundle.The mode that this material is processed is grinding (belonging to machining).After machined, present typical microscopic appearance shown in Fig. 2.
The supporting analysis software Talymap (PLATINUM) of Talysurf CCI MP surface roughometer.
Evaluation procedure is as follows:
S1, detection, obtain and measure raw data, the i.e. height value of each point on original material sample finished surface.Measure initial surface microscopic appearance as shown in Figure 3, a is that microscopic appearance equal-value map, b are three-dimensional surface shape, the analysis data that c is measurement result.Surface under identical conditions is detected, and Fig. 4 is for measuring the roughness value Sa of 30 points, and statistical regularity is poor, and this is because starting material are prepared the impact of hole on its surfaceness completely.Therefore next carry out second step.
S2,1024 * 1024 raw data in each 0.8mm * 0.8mm measured zone are processed, the gross error in raw data is measured in filtering.
Processing procedure:
S21) measure raw data and read in software;
S22) leveling, eliminates the impact that the medium dip of sample measurement process brings;
S23) utilize the 3 σ criterions (Lay is with special criterion) of differentiating gross error, differentiate gross error, and this value is rejected, recalculate.
Computation process: calculate raw data average height value x, residual error v
i, calculate standard deviation sigma, judge every some residual error v
iwhether be greater than 3 σ, reject v
ithe point of >3 σ, returns to step S22, otherwise execution step S3.
Fig. 5 is original and processes rear data corrugated histogram.Figure 6 shows that original in computation process and process rear equal-value map contrast, the gross error that right diagram black is filtering, white is non-measurement point.Gross error is the hole in forming materials process, therefore differentiated for gross error, while calculating roughness, this measurement point is rejected.
S3, utilize analysis software to reanalyse processing data after treatment, obtain corresponding three-dimensional roughness data Sa; Filtering gross error rear surface microscopic appearance is shown in Fig. 7.Utilize surfaceness that analysis software finally obtains can be two-dimensional surface roughness Ra, Rq, Rz etc. or and three-dimensional roughness data, as Sa, Sq etc.This roughness value is filtering material itself to be prepared after hole, the surface roughness value of actual processing, and for the singularity on this materials processing surface, the present invention uses three-dimensional roughness Sa best results.
S4, utilize resulting three-dimensional roughness data to carry out roughness evaluation.
The Sa data that the present invention obtains by evaluation method of the present invention the surface under identical conditions and original Sa data contrast, obtain Fig. 8, can find out, the three-dimensional roughness data that the present invention obtains meet engineering reality, and original Sa data show that the roughness degree of finished surface does not obviously meet engineering reality.
The above is only the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, do not departing under the prerequisite of the technology of the present invention principle; can also make some improvement and distortion, these improvement and distortion also should be considered as protection scope of the present invention.
Claims (9)
1. a fibre reinforced composites surfaceness evaluation method, is characterized in that, comprises the following steps:
S1, measure the height value of each point on original material sample finished surface, as raw data;
S2, the raw data of the some in each a certain size region is processed to the gross error in filtering raw data;
S3, utilize analysis software to reanalyse processing data after treatment, obtain corresponding three-dimensional roughness data;
S4, utilize resulting three-dimensional roughness data to carry out roughness evaluation.
2. the method for claim 1, is characterized in that, described gross error is hole.
3. the method for claim 1, is characterized in that, described three-dimensional roughness data are surface roughness value Sa or Sq.
4. the method for claim 1, is characterized in that, in step S2, the raw data of the some in a certain size region is processed, and the gross error in filtering raw data is specially:
S21, obtain 1024 * 1024 raw data in 0.8mm * 0.8mm region of measurement;
S22, sample is carried out to leveling;
S23, utilization are differentiated 3 σ criterions of gross error and are differentiated gross errors, and by gross error filtering.
5. method as claimed in claim 4, is characterized in that, step S23 is specially: calculate the average height value x of 1024 * 1024 raw data, and then calculate standard deviation and residual error v
i, judge every some residual error v
iwhether be greater than 3 σ, reject v
ithe point of >3 σ, returns to step S22, otherwise execution step S3.
6. the method for claim 1, is characterized in that, described material is that C/C, C/SiC, carbon fiber strengthen or metal material.
7. the method for claim 1, is characterized in that, described surface is for adopting plane or the arbitrary surface after machining, electromachining or the moulding of special process mode.
8. the method for claim 1, is characterized in that, the analysis software Talymap that described analysis software is surface roughometer.
9. the method as described in any one in claim 1～8, is characterized in that, utilizes non-contact testing instrument to obtain raw data in step S1.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410338867.8A CN104089601A (en) | 2014-07-16 | 2014-07-16 | Evaluation method of surface roughness of fiber reinforced composite material |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410338867.8A CN104089601A (en) | 2014-07-16 | 2014-07-16 | Evaluation method of surface roughness of fiber reinforced composite material |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104089601A true CN104089601A (en) | 2014-10-08 |
Family
ID=51637339
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410338867.8A Pending CN104089601A (en) | 2014-07-16 | 2014-07-16 | Evaluation method of surface roughness of fiber reinforced composite material |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104089601A (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104463918A (en) * | 2014-11-14 | 2015-03-25 | 南京航空航天大学 | Method for measuring workpiece surface roughness based on image grey information |
| CN108469571A (en) * | 2018-02-11 | 2018-08-31 | 济南荣耀合创电力科技有限公司 | The cable status evaluation method of multiplex assay data analysis based on Trendline fitting |
| CN109856337A (en) * | 2019-02-28 | 2019-06-07 | 北京航空航天大学 | A kind of carbon fibre composite machined surface quality assessment method and device |
| CN110006374A (en) * | 2019-04-28 | 2019-07-12 | 大连理工大学 | A kind of CFRP roughness measurement method obtaining image benchmark by multi-dimensional interpolation |
| CN111829937A (en) * | 2020-08-24 | 2020-10-27 | 东北石油大学 | Quantitative evaluation method and system for surface roughness of organic kerogen pores in shale |
| CN114019131A (en) * | 2021-11-05 | 2022-02-08 | 苏州思萃熔接技术研究所有限公司 | Judgment method for evaluating influence of wire rod surface roughness on welding wire surface quality |
| CN114322857A (en) * | 2021-12-23 | 2022-04-12 | 西北工业大学 | Method for evaluating surface roughness of fiber reinforced ceramic matrix composite material |
-
2014
- 2014-07-16 CN CN201410338867.8A patent/CN104089601A/en active Pending
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104463918A (en) * | 2014-11-14 | 2015-03-25 | 南京航空航天大学 | Method for measuring workpiece surface roughness based on image grey information |
| CN104463918B (en) * | 2014-11-14 | 2017-08-04 | 南京航空航天大学 | A kind of method based on gradation of image information measurement workpiece surface roughness |
| CN108469571A (en) * | 2018-02-11 | 2018-08-31 | 济南荣耀合创电力科技有限公司 | The cable status evaluation method of multiplex assay data analysis based on Trendline fitting |
| CN108469571B (en) * | 2018-02-11 | 2021-12-21 | 济南荣耀合创电力科技有限公司 | Cable state evaluation method based on multivariate test data analysis of trend line fitting |
| CN109856337A (en) * | 2019-02-28 | 2019-06-07 | 北京航空航天大学 | A kind of carbon fibre composite machined surface quality assessment method and device |
| CN110006374A (en) * | 2019-04-28 | 2019-07-12 | 大连理工大学 | A kind of CFRP roughness measurement method obtaining image benchmark by multi-dimensional interpolation |
| CN111829937A (en) * | 2020-08-24 | 2020-10-27 | 东北石油大学 | Quantitative evaluation method and system for surface roughness of organic kerogen pores in shale |
| CN111829937B (en) * | 2020-08-24 | 2021-06-08 | 东北石油大学 | Quantitative evaluation method and system for surface roughness of organic kerogen pores in shale |
| CN114019131A (en) * | 2021-11-05 | 2022-02-08 | 苏州思萃熔接技术研究所有限公司 | Judgment method for evaluating influence of wire rod surface roughness on welding wire surface quality |
| CN114019131B (en) * | 2021-11-05 | 2024-04-02 | 苏州思萃熔接技术研究所有限公司 | Judgment method for evaluating influence of wire rod surface roughness on welding wire surface quality |
| CN114322857A (en) * | 2021-12-23 | 2022-04-12 | 西北工业大学 | Method for evaluating surface roughness of fiber reinforced ceramic matrix composite material |
| CN114322857B (en) * | 2021-12-23 | 2023-09-19 | 西北工业大学 | Method for evaluating roughness of processing surface of fiber reinforced ceramic matrix composite |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104089601A (en) | Evaluation method of surface roughness of fiber reinforced composite material | |
| Aurich et al. | Kinematic simulation of high-performance grinding for analysis of chip parameters of single grains | |
| CN104596845B (en) | A kind of measuring method of the true stress―strain curve of metal weldedstructure | |
| CN109299568A (en) | Welding point constitutive model Backstipping design based on nano indentation test | |
| WO2020211007A1 (en) | Form and position deviation feature library establishment method for aerospace thin-housing structure | |
| CN104833333B (en) | Structural plane roughness coefficient dimensional effect sample characterization unit determines method | |
| CN103454200A (en) | Method and device for determining pore parameters of rock cores by using computed tomography (CT) technology | |
| CN105445361A (en) | MFL (magnetic flux leakage) testing defect three-dimensional imaging method based on magnetic charge distribution reconstruction algorithm | |
| CN102445174A (en) | Multipoint flatness assessment method based on support vector regression | |
| CN106202002B (en) | A method of for detecting whether series of hydrological parameter makes a variation | |
| CN109856337B (en) | Method and device for evaluating quality of processed surface of carbon fiber composite material | |
| CN110363855B (en) | Rock-fill dam transparentization modeling method | |
| CN106290152A (en) | A kind of in-situ detection method for composite complex profile bonding quality | |
| CN114608461A (en) | Laser scanning measurement method for parts with non-uniform wall thickness | |
| CN102455157A (en) | Go gauge used for workpiece detection | |
| CN201876207U (en) | Drift gauge for detecting workpieces | |
| CN107063330A (en) | Porous plate standard and joint error detection method for multi-sensor measurement system | |
| Zheng et al. | Research of the on-line evaluating the cylindricity error technology based on the new generation of GPS | |
| CN113239583B (en) | Method and system for constructing composite material constitutive model | |
| CN110096772A (en) | A kind of shape position error feature database method for building up of Aviation space flight shell structure | |
| CN103353360B (en) | Method for measuring residual stress of welded rotor | |
| CN108152373B (en) | System and method for measuring mechanical property of composite material containing pores based on pore size identification | |
| CN105259195A (en) | Method for identifying rough paper by observing microstructure | |
| McMillan | Defect identification and characterization algorithms for assessing effect on component strength | |
| CN206656689U (en) | Positive three dimensional strain test device of the hexagonal prism as skeleton |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20141008 |